jo-L joelsewhere

## another_text.json
[
  {
    "type": "section",
    "text": {
      "type": "mrkdwn",
      "text": "@channel Happy {}! :wave:"
    }
  },
  {
    "type": "section",

## warmup_template.json
[{"type": "section", "text": {"type": "mrkdwn", "text": "Happy {}! :wave:"}}, {"type": "section", "text": {"type": "mrkdwn", "text": "Here is your <{}|warmup> for today."}}]

## setville.ipynb

      
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                joelsewhere
                / setville.ipynb
            
            
              Created
              May 26, 2020 19:17
            
          
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## nyc_bedbugs.py
from requests import get
from io import StringIO
import pandas as pd
import matplotlib.pyplot as plt

url = 'https://data.cityofnewyork.us/api/views/wz6d-d3jb/rows.csv?accessType=DOWNLOAD'
response = get(url)
io = StringIO(response.content.decode('utf-8'))
df = pd.read_csv(io)
df = df.assign(filing_date=pd.to_datetime(df['Filing Date']))

## insert_datetime_dag.py
from airflow import DAG
from datetime import datetime, timedelta
from airflow.providers.postgres.operators.postgres import PostgresOperator

default_args = {
    'owner': 'airflow',
    'retries': 1,
    'retry_delay': timedelta(minutes=5),
    'start_date': datetime(2024, 1, 1),
}
	[
	{
	"type": "section",
	"text": {
	"type": "mrkdwn",
	"text": "@channel Happy {}! :wave:"
	}
	},
	{
	"type": "section",
	from requests import get
	from io import StringIO
	import pandas as pd
	import matplotlib.pyplot as plt

	url = 'https://data.cityofnewyork.us/api/views/wz6d-d3jb/rows.csv?accessType=DOWNLOAD'
	response = get(url)
	io = StringIO(response.content.decode('utf-8'))
	df = pd.read_csv(io)
	df = df.assign(filing_date=pd.to_datetime(df['Filing Date']))
	from airflow import DAG
	from datetime import datetime, timedelta
	from airflow.providers.postgres.operators.postgres import PostgresOperator

	default_args = {
	'owner': 'airflow',
	'retries': 1,
	'retry_delay': timedelta(minutes=5),
	'start_date': datetime(2024, 1, 1),
	}